Triple
T8684041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VolgSTU |
E206107
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | VolgSTU |
E206107
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: VolgSTU | Statement: [VolgSTU, hasAbbreviation, VolgSTU]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VolgSTU Context triple: [VolgSTU, hasAbbreviation, VolgSTU]
-
A.
VolgSTU
chosen
VolgSTU is a major Russian technical university located in Volgograd, specializing in engineering, technology, and applied sciences.
-
B.
VUT
VUT is the three-letter ISO 3166-1 alpha-3 country code assigned to Vanuatu.
-
C.
STU
STU is a major public technical university in Bratislava, Slovakia, known for its engineering, technology, and applied science programs.
-
D.
VU
VU is a major research university in Amsterdam, Netherlands, known for its wide range of academic programs and emphasis on interdisciplinary and socially engaged scholarship.
-
E.
Stuvsta
Stuvsta is a residential district and commuter suburb in the southern Stockholm area of Sweden, known for its villas, local center, and good rail connections to central Stockholm.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae9da3c8190866e24970a7aeba3 |
completed | March 31, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3c3c74c81908cd9e881d5963492 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.